지금 시작

스크립트에서 "smart"에 대해 찾기

Smart Non-Overlapping S/R How to Interpret This Chart The "Cluster" Effect: Look for areas where lines from different timeframes are close together (e.g., a Daily Support line is right next to a 4-Hour Support line). These "clusters" are very strong zones where price is highly likely to bounce. Breakouts: Bullish Breakout: If a candle closes above a Resistance line (e.g., "Daily Res"), that line often turns into new Support. Bearish Breakout: If a candle closes below a Support line (e.g., "Daily Sup"), that line often turns into new Resistance. Color Coding: Orange (Daily): Major levels. Expect big reactions here. Purple (4H): Medium trend levels. Good for swing trades. Blue (1H): Minor levels. Good for day trading entries.
Pine Script® 인디케이터
JA888LV의
Smart Christmas Tree Overlay with Live Market StatusGet into the holiday spirit while you trade! 🎅📈 This script adds a festive, animated Christmas tree overlay to your chart that reacts to live market conditions in real-time. It is designed with a "Slim Fit" ratio to minimize screen real estate while maximizing the holiday vibe. Key Features: 🎄 Trend-Reactive Lighting: Bullish (Up): The tree lights sparkle in Green tones, and a special Blue Diamond (🔷) shines to indicate upward momentum. Bearish (Down): The tree lights turn Red, and a Red Diamond (♦️) blinks to warn of downward movement. ✨ Real-Time Animation: The lights and star blink dynamically based on price updates, making the chart feel alive. 📊 Mini Market HUD: Displays the current Ticker, Last Price, Price Change, and Change % neatly below the tree. 📐 Fully Customizable: You can easily change the tree's Position (Corners/Middle) and Size (Small to Large) via the settings menu. 🖼️ "Always On" Overlay: Uses the TradingView table function to stay fixed on your screen, regardless of zoom or scroll. How to use: Simply add it to your chart, select your preferred corner in the settings, and enjoy the show! Happy Holidays and Profitable Trading! 🎁 ================================================================================== 트레이딩을 하면서 연말 분위기를 느껴보세요! 🎅📈 이 스크립트는 실시간 시장 상황에 반응하는 애니메이션 크리스마스 트리 오버레이를 차트에 추가합니다. 화면 공간을 최소한으로 차지하도록 "슬림 핏" 비율로 디자인되었습니다. 주요 기능: 🎄 추세 반응형 조명: 상승장 (Bullish): 트리 조명이 녹색 톤으로 반짝이며, 상승 모멘텀을 나타내는 특별한 **파란색 다이아몬드(🔷)**가 빛납니다. 하락장 (Bearish): 트리 조명이 빨간색으로 변하고, **빨간색 다이아몬드(♦️)**가 깜빡이며 하락을 경고합니다. ✨ 실시간 애니메이션: 가격 업데이트에 따라 조명과 별이 역동적으로 깜빡여 차트에 생동감을 줍니다. 📊 미니 시세판 (HUD): 트리 바로 아래에 현재 종목명, 현재가, 가격 변동폭, 변동률(%)을 깔끔하게 표시합니다. 📐 완벽한 커스터마이징: 설정 메뉴를 통해 트리의 위치(모서리/중간)와 크기(작게~크게)를 쉽게 변경할 수 있습니다. 🖼️ "Always On" 오버레이: TradingView의 table 기능을 사용하여 줌이나 스크롤에 관계없이 화면에 고정됩니다. 사용 방법: 차트에 추가하고 설정에서 원하는 위치를 선택하기만 하면 됩니다! 행복한 연말 보내시고 성투하세요! 🎁 양키트레이더 from PropKorea.com
Pine Script® 인디케이터
coldFish52의
1
Correlation Scanner📊 CORRELATION SCANNER - Financial Instruments Correlation Analyzer 🎯 ORIGINALITY AND PURPOSE Correlation Scanner is a professional tool for analyzing correlation relationships between different financial instruments. Unlike standard correlation indicators that show the relationship between only two instruments, this script allows you to simultaneously track the correlation of up to 10 customizable instruments with a selected base asset. The indicator is designed for traders working with cross-market analysis, portfolio diversification, and searching for related assets for arbitrage strategies. 🔧 HOW IT WORKS The indicator uses the built-in ta.correlation() function to calculate the Pearson correlation coefficient between instrument closing prices over a specified period. Mathematical foundation: 1. Correlation Calculation: for each instrument, the correlation coefficient with the base asset is calculated over N bars (default 60) 2. Results Sorting: instruments are automatically ranked by absolute correlation value (from strongest to weakest) 3. Visualization: results are displayed in a table with color coding: - Green: positive correlation (instruments move in the same direction) - Red: negative correlation (instruments move in opposite directions) - Color intensity depends on correlation strength 4. Correlation Strength Classification: - Very Strong (💪💪💪): |r| > 0.8 — very strong relationship - Strong (💪💪): |r| > 0.6 — strong relationship - Medium (💪): |r| > 0.4 — medium relationship - Weak: |r| > 0.2 — weak relationship - Very Weak: |r| ≤ 0.2 — very weak relationship 📋 SETTINGS AND USAGE MAIN PARAMETERS: • Main Instrument — base instrument for comparison (default TVC:DXY - US Dollar Index) • Correlation Period — calculation period in bars (10-500, default 60) • Number of Instruments to Display — number of instruments to show (1-10) • Table Position — table location on the chart INSTRUMENT CONFIGURATION: The indicator allows configuring up to 10 instruments for analysis. For each, you can specify: • Instrument — instrument ticker (e.g., FX_IDC:EURUSD) • Name — display name (emojis supported) VISUAL SETTINGS: • Show Chart Label with Correlation — display current chart's correlation with base instrument • Table Header Color — table header color • Table Row Background — table row background color 💡 USAGE EXAMPLES 1. DOLLAR IMPACT ANALYSIS: set DXY as the base instrument and track how dollar index changes affect currency pairs, gold, and cryptocurrencies 2. HEDGING ASSETS SEARCH: find instruments with strong negative correlation for risk diversification 3. PAIRS TRADING: identify assets with high positive correlation to find divergences and arbitrage opportunities 4. CROSS-MARKET ANALYSIS: track relationships between stocks, bonds, commodities, and currencies 5. SYSTEMIC RISK ASSESSMENT: identify periods of increased correlation between assets, which may indicate systemic risks ⚠️ IMPORTANT NOTES • Correlation does NOT imply causation • Correlation can change over time — regularly review the analysis period • High past correlation doesn't guarantee the relationship will persist in the future • Recommended to use the indicator in combination with fundamental analysis 🔔 ALERTS The indicator includes a built-in alert condition: triggers when strong correlation (|r| > 0.8) is detected between the current chart and the base instrument.
Pine Script® 인디케이터
Smart-Day-Trader의
Smart Trend Signal with Bands [wjdtks255]Indicator Description for TradingView Title: Adaptive Trend Kernel Description: The "Adaptive Trend Kernel " is a versatile trend-following and volatility indicator designed to help traders identify dynamic market trends, potential reversals, and price extremes within a channel. Built upon a customized linear regression model, this indicator provides clear visual cues to enhance your trading decisions. Key Features: Regression Line: A central dynamic line representing the core trend direction, calculated based on a user-defined "Regression Length." Regression Bands: Standard deviation-based bands plotted around the Regression Line, which act like a dynamic channel. These bands expand and contract with market volatility, indicating potential overbought/oversold conditions relative to the trend. Trend Reversal Signals: Distinct "Up" (green triangle up) and "Down" (red triangle down) signals are generated when the price (close) crosses over or under the Regression Line. These signals suggest potential shifts in the short-term trend direction. Visual Customization: Highly flexible input options for adjusting line colors, band colors, line width, and panel opacity. Users can toggle the visibility of bands and trend labels to suit their chart preferences. Panel Label: A subtle "Regression" label is dynamically positioned, offering clear context without cluttering the main chart. How it Works: The indicator calculates a linear regression line as the adaptive center of the price movement. Standard deviation is then used to create upper and lower bands, encapsulating typical price fluctuations. Signals are fired when price breaks out of the regression line, suggesting a momentum shift in line with the established trend or a potential reversal. Trading Methods & Strategies Here are some trading strategies you can apply using the "Adaptive Trend Kernel " indicator: Trend-Following with Confirmation: Long Entry: Look for an "Up" signal (green triangle up) when the price is above the Regression Line, especially after a brief retracement towards the line. This confirms that the uptrend is likely resuming. Short Entry: Look for a "Down" signal (red triangle down) when the price is below the Regression Line, especially after a brief rally towards the line. This confirms that the downtrend is likely resuming. Exit Strategy: Consider exiting if an opposite signal appears, or if the price closes outside the opposite band, indicating potential overextension or reversal. Reversal / Counter-Trend Play: Long Entry (Aggressive): When the price approaches or briefly dips below the Lower Regression Band and then generates an "Up" signal (green triangle up). This could indicate a potential bounce from an oversold condition relative to the trend. Short Entry (Aggressive): When the price approaches or briefly moves above the Upper Regression Band and then generates a "Down" signal (red triangle down). This could indicate a potential pullback from an overbought condition relative to the trend. Confirmation: This strategy works best when combined with other reversal confirmation patterns (e.g., bullish/bearish engulfing candlesticks) or divergences in other momentum indicators (like RSI). Volatility Breakout: Entry (Long): After a period of low volatility where the Regression Bands are narrow, observe if the price decisively breaks above the Upper Regression Band and an "Up" signal appears. This suggests a strong bullish momentum breakout. Entry (Short): After a period of low volatility where the Regression Bands are narrow, observe if the price decisively breaks below the Lower Regression Band and a "Down" signal appears. This suggests a strong bearish momentum breakdown. Management: Volatility breakouts can be swift; use appropriate risk management and profit-taking strategies. Important Considerations: Risk Management: Always apply proper stop-loss and take-profit levels. No indicator is infallible. Timeframe Sensitivity: Adjust the "Regression Length" and "Band Multiplier" according to the asset and timeframe you are trading. Shorter lengths might suit scalping, while longer lengths are better for swing trading. Confirmation with Other Tools: For higher conviction trades, use this indicator in conjunction with other technical analysis tools such like volume, MACD, or RSI on an oscillator pane. Backtesting: Always backtest any strategy on historical data to understand its performance characteristics before live trading.
Pine Script® 인디케이터
wjdtks255의
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer ## 📊 OVERVIEW **Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system. This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics. ## 🎯 WHAT MAKES THIS ORIGINAL ### **Hybrid Analytical Approach** This indicator uniquely combines two separate methodologies that are typically analyzed independently: 1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes 2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index ### **Six-Factor Composite Analysis** The dominance score integrates: - Price position relative to POC (equilibrium assessment) - Price position relative to Value Area boundaries (acceptance/rejection zones) - Volume imbalance within Value Area (institutional bias detection) - Price momentum (directional strength) - Volume trend comparison (participation analysis) - Normalized Value Area position (precise location within fair value zone) ### **Adaptive Higher Timeframe Integration** The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed. ## 💡 HOW IT WORKS ### **Market Profile Construction** The indicator builds a Market Profile structure on a higher timeframe by: 1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries 2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session 3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows) 4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched ### **Key Level Calculation** **Point of Control (POC)** - Identifies the price channel with the highest accumulated volume - Represents the price level where the most trading activity occurred - Serves as a magnetic level where price often returns **Value Area (VA)** - Starts at POC and expands both upward and downward - Includes channels until reaching the specified percentage of total volume (default: 70%) - Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity - Defines the "fair value" zone where most market participants agreed to trade ### **Dominance Score Formula** ``` Dominance Score = (price_vs_poc × 10) + (price_vs_va × 5) + (volume_imbalance × 0.5) + (price_momentum × 100) + (volume_trend × 5) + (va_position × 15) ``` **Component Breakdown:** - **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium) - **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA - **volume_imbalance**: Percentage difference between upper and lower VA volumes - **price_momentum**: 5-period SMA of price change (directional acceleration) - **volume_trend**: Compares 5-period vs 20-period volume averages - **va_position**: Normalized position within Value Area (-1 to +1) The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness. ### **Market State Determination** - **BUYERS Dominant**: Smooth dominance > +10 (bullish control) - **SELLERS Dominant**: Smooth dominance < -10 (bearish control) - **NEUTRAL**: Between -10 and +10 (balanced market) ## 📈 HOW TO USE THIS INDICATOR ### **Trend Identification** - **Green background** indicates buyers are in control - look for long opportunities - **Red background** indicates sellers are in control - look for short opportunities - **Gray background** indicates neutral market - consider range-bound strategies ### **Signal Interpretation** **Buy Signals** (green triangle) appear when: - Dominance crosses above -10 from oversold conditions - Previous state was not already bullish - Suggests shift from seller to buyer control **Sell Signals** (red triangle) appear when: - Dominance crosses below +10 from overbought conditions - Previous state was not already bearish - Suggests shift from buyer to seller control ### **Value Area Context** Monitor the information table (top-right) to understand market structure: - **Price vs POC**: Shows if trading above/below equilibrium - **Volume Imbalance**: Positive values favor buyers, negative favors sellers - **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL) ### **Multi-Timeframe Strategy** The auto-timeframe feature analyzes higher timeframe structure: - On 1-minute charts → analyzes 2-hour structure - On 5-minute charts → analyzes Daily structure - On 15-minute charts → analyzes Weekly structure - On Daily charts → analyzes Yearly structure This higher timeframe context helps avoid counter-trend trades against the dominant force. ### **Confluence Trading** Strongest signals occur when multiple factors align: 1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup 2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup 3. Price at POC + neutral state = Potential breakout/breakdown pivot ## ⚙️ INPUT PARAMETERS - **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection - **Value Area %**: Percentage of volume contained in VA (default: 70%) - **Show Buy/Sell Signals**: Toggle signal triangles visibility - **Show Dominance Histogram**: Toggle histogram display - **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5) - **Number of Channels**: Market Profile resolution (10-50, default: 20) - **Color Settings**: Customize buyer, seller, and neutral colors ## 🎨 VISUAL ELEMENTS - **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers) - **Zero Line**: Neutral equilibrium reference - **Overbought/Oversold Lines**: ±50 levels marking extreme dominance - **Background Color**: Highlights current market state - **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume) - **Signal Shapes**: Triangle markers for buy/sell signals ## 🔔 ALERTS The indicator includes three alert conditions: 1. **Buyers Dominate** - Fires on buy signal crossovers 2. **Sellers Dominate** - Fires on sell signal crossovers 3. **Dominance Shift** - Fires when dominance crosses zero line ## 📊 BEST PRACTICES ### **Timeframe Selection** - **Scalping (1-5min)**: Focus on 2H-4H dominance shifts - **Day Trading (15-60min)**: Monitor Daily and Weekly structure - **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance ### **Confirmation Strategies** 1. **Trend Following**: Enter in direction of dominance above/below ±20 2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price 3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume ### **Risk Management** - Avoid trading during NEUTRAL states (dominance between -10 and +10) - Use POC levels as logical stop-loss placement - Consider VAH/VAL as profit targets for mean reversion ## ⚠️ LIMITATIONS & WARNINGS **Data Requirements** - Requires sufficient historical data on current chart (minimum 100 bars recommended) - Lower timeframes may show fewer bars per HTF session initially - More accurate results after several complete HTF sessions have formed **Not a Standalone System** - This indicator analyzes market structure and participant control - Should be combined with price action, support/resistance, and risk management - Does not guarantee profitable trades - past dominance does not predict future results **Repainting Characteristics** - Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session - Dominance score recalculates with each new bar - Historical signals remain fixed, but current session data is developing **Volume Limitations** - Uses exchange-provided volume data which varies by instrument type - Forex and some CFDs use tick volume (not actual transaction volume) - Most accurate on instruments with reliable volume data (stocks, futures, crypto) ## 🔍 TECHNICAL NOTES **Performance Optimization** - Uses `max_bars_back=5000` for extended historical analysis - Efficient array management prevents memory issues - Automatic cleanup of session data on new period **Calculation Method** - Market Profile uses actual volume distribution, not TPO (Time Price Opportunity) - Value Area expansion follows traditional Market Profile auction theory - All calculations occur on the chart's current symbol and timeframe ## 📚 EDUCATIONAL VALUE This indicator helps traders understand: - How institutional traders use Market Profile to identify fair value - The relationship between price, volume, and market acceptance - Multi-factor analysis techniques for assessing market conditions - The importance of higher timeframe structure in trade planning ## 🎓 RECOMMENDED READING To better understand the concepts behind this indicator: - "Mind Over Markets" by James Dalton (Market Profile foundations) - "Markets in Profile" by James Dalton (Value Area analysis) - Volume Profile analysis in institutional trading ## 💬 USAGE TERMS This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Pine Script® 인디케이터
Smart-Day-Trader의
TFL Indicator (BenFuturez)Smart Fair Value Gap Trading Tool This indicator identifies high-probability trading opportunities by combining Fair Value Gaps (FVGs) with confirmation signals and trend filtering. KEY FEATURES: • Automatically detects bullish and bearish Fair Value Gaps on your chart • Generates precise entry signals based on price action confirmation • Includes built-in trend filter using 20 EMA for higher quality setups • Visual FVG boxes with customizable colors and extension length • Configurable signal sensitivity with adjustable timeframe parameters HOW IT WORKS: The indicator marks FVG zones on your chart and monitors price behavior when these zones are tested. Entry signals appear only when multiple conditions align, including proper price structure, gap interaction, and trend direction. This multi-layered approach helps filter out low-probability trades. SETTINGS: • Toggle bullish/bearish FVG boxes on/off • Adjust box colors and extension length • Configure signal timing sensitivity • Show/hide the 20 EMA trend filter • Customize EMA length and color SIGNALS: • Green triangle = Buy signal (bullish setup confirmed) • Red triangle = Sell signal (bearish setup confirmed) • Built-in alerts available for all signal types BEST PRACTICES: • Use on lower timeframes for more signals • Combine with proper risk management and position sizing • Signals work best when aligned with overall market structure • Consider multiple timeframe confirmation for best results • Use this as a confluence to your strategy, don't just blindly follow signals! This indicator is designed for traders who understand market structure and want a systematic approach to identifying quality entry points based on institutional order flow concepts.
Pine Script® 인디케이터
BenFuturez의
Smart Dollar Cost Averaging DashboardThis closed-source TradingView indicator implements a comprehensive Dollar Cost Averaging (DCA) savings plan simulation designed to automate systematic investments. The script allows users to set a fixed investment amount and choose a customizable interval—weekly, monthly, or quarterly—at which purchases are simulated against historical or live price data. The core functionality calculates the average buy-in price dynamically by tracking cumulative invested capital and total acquired shares, providing a true average cost basis rather than simple price signals. This average price is visualized as a persistent, non-draggable horizontal line on the chart, enabling traders to intuitively compare the market price to their average entry point. A movable and toggleable dashboard accompanies the indicator, delivering real-time metrics including total investment, number of purchases, portfolio value, profit/loss both in absolute and percentage terms, and the price gap relative to the computed average buy-in. This transparency helps users understand their position’s health and supports disciplined long-term investment strategies. This script stands unique by combining flexible periodic investment scheduling with real capital calculations and detailed, easy-to-read visual feedback that is rarely bundled so intuitively in similar scripts. Unlike many open-source trend-following or scalping tools, this indicator focuses on systematic investment and passive portfolio growth, ideal for investors pursuing dollar cost averaging. Unlike standard buy/sell signal creators or simplistic moving average crossovers, this script models actual cash flow deployment and quantifies performance in real-time with a clean, professional UI. Its originality lies in marrying realistic capital flow simulation with intuitive visualization and multi-interval flexibility. How It Works: Tracks virtual investments of fixed cash amounts at user-defined intervals Converts invested amounts into shares based on closing prices, accumulating holding size Recalculates weighted average purchase price after each simulated buy Continuously displays the average buy-in as a stable graphic element on any price chart Offers detailed investment metrics through an interactive dashboard overlay Supports weekly, monthly, and quarterly investment cadences with user-selectable investment days Use Cases: Ideal for investors employing systematic savings plans to build long-term positions Fits cryptocurrency, stock, ETF, and index investments on TradingView Supports financial education by illustrating dollar cost averaging principles visually Facilitates performance tracking for passive investors who prioritize consistent buying over timing The script is an advanced tool meeting a distinct trading niche: systematic, cash-based, passive investment modeling with transparency and user control. This originality and usefulness justify the closed-source mode to protect intellectual property.
Pine Script® 인디케이터
paulscht67의
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description ## 📊 OVERVIEW Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal. --- ## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL ### The Core Innovation: Weighted Confidence Scoring Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that: 1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score 2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives 3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality 4. **Adapts to Market Conditions** - Different market regimes activate different component combinations ### Why This Combination is Useful Traditional approaches suffer from: - **Single-dimension bias**: RSI shows oversold, but trend is still down - **Conflicting signals**: MACD says buy, but volume is weak - **No prioritization**: All signals treated equally regardless of strength QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align. --- ## 🔬 THE FOUR ANALYTICAL FRAMEWORKS ### 1. Temporal Fractal Resonance (TFR) **What It Does:** Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization. **How It Works:** - Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe - Calculates "fractal strength" for each timeframe using this formula: ``` Fractal Strength = (Rate of Change / Standard Deviation) × 100 ``` This creates a momentum-to-volatility ratio that measures trend strength relative to noise - Computes a Resonance Index when all four timeframes show the same directional bias - The index averages the absolute strength values when all timeframes align **Why This Method:** Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction. **Contribution to Confidence Score:** - TFR Bullish = +25 points - TFR Bearish = +25 points (to bearish confidence) - No alignment = 0 points --- ### 2. Cross-Asset Quantum Entanglement (CAQE) **What It Does:** Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves. **How It Works:** - Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars - Calculates Pearson correlation coefficient between the main asset and each reference: ``` Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y)) ``` - Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength: ``` Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3 ``` - Detects "correlation breakdowns" when average correlation drops below 0.3 **Why This Method:** Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that: - Crypto assets often correlate with Bitcoin - Risk assets inversely correlate with VIX (fear gauge) - Dollar strength affects commodity and crypto prices When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other. **Contribution to Confidence Score:** - CAQE Bullish (positive pressure, stable correlations) = +25 points - CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish) - Correlation breakdown = Warning marker (potential reversal zone) --- ### 3. Adaptive Market Psychology Matrix (AMPM) **What It Does:** Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change). **How It Works:** The system evaluates three metrics: 1. **RSI (14-period)**: Measures overbought/oversold conditions 2. **Volume Analysis**: Compares current volume to 20-period average 3. **ATR Rate of Change**: Detects volatility acceleration Based on these inputs, the market is classified into: - **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion) - **Greed**: RSI > 70, normal volume (moderate bullish emotion) - **Neutral**: RSI 40-60, declining volatility (balanced state) - **Fear**: RSI 40-60, low volatility (uncertainty without panic) - **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion) - **Despair**: RSI < 20, normal volume (capitulation phase) **Why This Method:** Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because: - At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left) - At Panic/Despair bottoms, everyone bearish has already sold (no sellers left) AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states. **Contribution to Confidence Score:** - Psychology Bullish (Panic/Despair + RSI < 35) = +15 points - Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points - Neutral states = 0 points --- ### 4. Time-Decay Probability Zones (TDPZ) **What It Does:** Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments. **How It Works:** - Calculates a 20-period Simple Moving Average as the basis line - Computes standard deviation of price over the same period - Creates four probability zones: - **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary) - **Upper Zone**: Basis + 1.5 standard deviations - **Lower Zone**: Basis - 1.5 standard deviations - **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary) - Dynamically adjusts zone width based on ATR (Average True Range): ``` Adjusted Upper = Upper Zone + (ATR × adjustment_factor) Adjusted Lower = Lower Zone - (ATR × adjustment_factor) ``` - The adjustment factor increases during high volatility, widening the zones **Why This Method:** Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting: - Price has ≈99% probability of staying within extreme zones in normal conditions - Touches to extreme zones represent statistical outliers (high-probability reversal opportunities) - Zone expansion/contraction reflects volatility regime changes - ATR adjustment prevents false signals during unusual volatility The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return. **Contribution to Confidence Score:** - Price in Lower Extreme Zone = +15 points (bullish reversal probability) - Price in Upper Extreme Zone = +15 points (bearish reversal probability) - Price near basis = 0 points --- ## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS ### Signal Generation Formula QMH calculates separate Bullish and Bearish confidence scores each bar: **Bullish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bullish: 25 points (if all 4 timeframes aligned bullish) + CAQE Bullish: 25 points (if intermarket pressure positive) + AMPM Bullish: 15 points (if Panic/Despair contrarian signal) + TDPZ Bullish: 15 points (if price in lower probability zones) ───────── Maximum Possible: 100 points ``` **Bearish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bearish: 25 points (if all 4 timeframes aligned bearish) + CAQE Bearish: 25 points (if intermarket pressure negative) + AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal) + TDPZ Bearish: 15 points (if price in upper probability zones) ───────── Maximum Possible: 100 points ``` ### Confirmed Signal Requirements A **QBUY** (Quantum Buy) signal generates when: 1. Bullish Confidence ≥ User-defined threshold (default 60%) 2. Bullish Confidence > Bearish Confidence 3. No active sell signal present A **QSELL** (Quantum Sell) signal generates when: 1. Bearish Confidence ≥ User-defined threshold (default 60%) 2. Bearish Confidence > Bullish Confidence 3. No active buy signal present ### Why This Approach Is Different **Example Comparison:** Traditional RSI Strategy: - RSI < 30 → Buy signal - Result: May buy into falling knife if trend remains bearish QMH Approach: - RSI < 30 → Psychology shows Panic (+15 points) - But requires additional confirmation: - Are all timeframes also showing bullish reversal? (+25 points) - Is intermarket pressure turning positive? (+25 points) - Is price at a statistical extreme? (+15 points) - Only when total ≥ 60 points does a QBUY signal fire This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities. --- ## 🚫 NO REPAINT GUARANTEE **QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading. ### Technical Implementation: 1. **All Multi-Timeframe Data Uses Confirmed Bars** ```pinescript tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off) ``` Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar. 2. **Lookahead Prevention** ```pinescript lookahead=barmerge.lookahead_off ``` This parameter prevents the function from accessing future data that wouldn't be available in real-time. 3. **Signal Timing** Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared. ### What This Means for Users: - **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time - **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it) - **Honest Performance**: Results reflect true predictive power, not hindsight optimization - **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart The dashboard displays "✓ NO REPAINT" to confirm this guarantee. --- ## 📖 HOW TO USE THIS INDICATOR ### Basic Trading Strategy **For Trend Followers:** 1. **Wait for Signal Confirmation** - QBUY label appears below a bar = Confirmed bullish entry opportunity - QSELL label appears above a bar = Confirmed bearish entry opportunity 2. **Check Confidence Score** - 60-70%: Moderate confidence (consider smaller position size) - 70-85%: High confidence (standard position size) - 85-100%: Very high confidence (consider larger position size) 3. **Enter Trade** - Long entry: Market or limit order near signal bar - Short entry: Market or limit order near signal bar 4. **Set Targets Using Probability Zones** - Long trades: Target the adjusted upper zone (lime line) - Short trades: Target the adjusted lower zone (red line) - Alternatively, target the basis line (yellow) for conservative exits 5. **Set Stop Loss** - Long trades: Below recent swing low minus 1 ATR - Short trades: Above recent swing high plus 1 ATR **For Mean Reversion Traders:** 1. **Wait for Extreme Zones** - Price touches extreme lower zone (dotted red line below) - Price touches extreme upper zone (dotted lime line above) 2. **Confirm with Psychology** - At lower extreme: Look for Panic or Despair state - At upper extreme: Look for Euphoria or Greed state 3. **Wait for Confidence Build** - Monitor dashboard until confidence exceeds threshold - Requires patience - extreme touches don't always reverse immediately 4. **Enter Reversal** - Target: Return to basis line (yellow SMA 20) - Stop: Beyond the extreme zone **For Position Traders (Longer Timeframes):** 1. **Use Daily Timeframe** - Set chart to daily for longer-term signals - Signals will be less frequent but higher quality 2. **Require High Confidence** - Filter setting: Min Confidence Score 80%+ - Only take the strongest multi-dimensional setups 3. **Confirm with Resonance Background** - Green tinted background = All timeframes bullish aligned - Red tinted background = All timeframes bearish aligned - Only enter when background tint matches signal direction 4. **Hold for Major Targets** - Long trades: Hold until extreme upper zone or opposite signal - Short trades: Hold until extreme lower zone or opposite signal --- ## 📊 DASHBOARD INTERPRETATION The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions: ### Dashboard Elements: 1. **✓ NO REPAINT** - Green confirmation that signals don't repaint - Always visible to remind users of signal integrity 2. **SIGNAL: BULL/BEAR XX%** - Shows dominant direction (whichever confidence is higher) - Displays current confidence percentage - Background color intensity reflects confidence level 3. **Psychology: ** - Current market emotional state - Color coded: - Orange = Euphoria (extreme bullish emotion) - Yellow = Greed (moderate bullish emotion) - Gray = Neutral (balanced state) - Purple = Fear (uncertainty) - Red = Panic (extreme bearish emotion) - Dark red = Despair (capitulation) 4. **Resonance: ** - Multi-timeframe alignment strength - Positive = All timeframes bullish aligned - Negative = All timeframes bearish aligned - Near zero = Timeframes not synchronized - Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance) 5. **Intermarket: ** - Cross-asset pressure measurement - Positive = BTC/DXY/VIX correlations supporting upside - Negative = Correlations supporting downside - Warning ⚠️ if correlation breakdown detected 6. **RSI: ** - Current RSI(14) reading - Background colors: Red (>70 overbought), Green (<30 oversold) - Status: OB (overbought), OS (oversold), or • (neutral) 7. **Status: READY BUY / READY SELL / WAIT** - Quick trade readiness indicator - READY BUY: Confidence ≥ threshold, bias bullish - READY SELL: Confidence ≥ threshold, bias bearish - WAIT: Confidence below threshold ### How to Use Dashboard: **Before Entering a Trade:** - Verify Status shows READY (not WAIT) - Check that Resonance matches signal direction - Confirm Psychology isn't contradicting (e.g., buying during Euphoria) - Note Intermarket value - breakdowns (⚠️) suggest caution **During a Trade:** - Monitor Psychology shifts (e.g., from Fear to Greed in a long) - Watch for Resonance changes that could signal exit - Check for Intermarket breakdown warnings --- ## ⚙️ CUSTOMIZATION SETTINGS ### TFR Settings (Temporal Fractal Resonance) - **Enable/Disable**: Turn TFR analysis on/off - **Fractal Sensitivity** (5-50, default 14): - Lower values = More responsive to short-term changes - Higher values = More stable, slower to react - Recommendation: 14 for balanced, 7 for scalping, 21 for position trading ### CAQE Settings (Cross-Asset Quantum Entanglement) - **Enable/Disable**: Turn CAQE analysis on/off - **Asset 1** (default BTC): Reference asset for correlation analysis - **Asset 2** (default DXY): Second reference asset - **Asset 3** (default VIX): Third reference asset - **Correlation Length** (10-100, default 20): - Lower values = More sensitive to recent correlation changes - Higher values = More stable correlation measurements - Recommendation: 20 for most assets, 50 for less volatile markets ### Psychology Settings (Adaptive Market Psychology Matrix) - **Enable/Disable**: Turn AMPM analysis on/off - **Volume Spike Threshold** (1.0-5.0x, default 2.0): - Lower values = Detect smaller volume increases as spikes - Higher values = Only flag major volume surges - Recommendation: 2.0 for stocks, 1.5 for crypto ### Probability Settings (Time-Decay Probability Zones) - **Enable/Disable**: Turn TDPZ visualization on/off - **Probability Lookback** (20-200, default 50): - Lower values = Zones adapt faster to recent price action - Higher values = Zones based on longer statistical history - Recommendation: 50 for most uses, 100 for position trading ### Filter Settings - **Min Confidence Score** (40-95%, default 60%): - Lower threshold = More signals, more false positives - Higher threshold = Fewer signals, higher quality - Recommendation: 60% for active trading, 75% for selective trading ### Visual Settings - **Show Entry Signals**: Toggle QBUY/QSELL labels on chart - **Show Probability Zones**: Toggle zone visualization - **Show Psychology State**: Toggle dashboard display --- ## 🔔 ALERT CONFIGURATION QMH includes four alert conditions that can be configured via TradingView's alert system: ### Available Alerts: 1. **Quantum Buy Signal** - Fires when: Confirmed QBUY signal generates - Message includes: Confidence percentage - Use for: Entry notifications 2. **Quantum Sell Signal** - Fires when: Confirmed QSELL signal generates - Message includes: Confidence percentage - Use for: Entry notifications or exit warnings 3. **Market Panic** - Fires when: Psychology state reaches Panic - Use for: Contrarian opportunity alerts 4. **Market Euphoria** - Fires when: Psychology state reaches Euphoria - Use for: Reversal warning alerts ### How to Set Alerts: 1. Right-click on chart → "Add Alert" 2. Condition: Select "Quantum Market Harmonics" 3. Choose alert type from dropdown 4. Configure expiration, frequency, and notification method 5. Create alert **Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers. --- ## 💡 BEST PRACTICES ### For All Users: 1. **Backtest First** - Test on your specific market and timeframe before live trading - Different assets may perform better with different confidence thresholds - Verify that the No Repaint guarantee works as described 2. **Paper Trade** - Practice with signals on a demo account first - Understand typical signal frequency for your timeframe - Get comfortable with the dashboard interpretation 3. **Risk Management** - Never risk more than 1-2% of capital per trade - Use proper stop losses (not just mental stops) - Position size based on confidence score (larger size at higher confidence) 4. **Consider Context** - QMH signals work best in clear trends or at extremes - During tight consolidation, false signals increase - Major news events can invalidate technical signals ### Optimal Use Cases: **QMH Works Best When:** - ✅ Markets are trending (up or down) - ✅ Volatility is normal to elevated - ✅ Price reaches probability zone extremes - ✅ Multiple timeframes align - ✅ Clear inter-market relationships exist **QMH Is Less Effective When:** - ❌ Extremely low volatility (zones contract too much) - ❌ Sideways choppy markets (conflicting timeframes) - ❌ Flash crashes or news events (correlations break down) - ❌ Very illiquid assets (irregular price action) ### Session Considerations: - **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours) - **Forex**: Best during London/New York overlap when volume is highest - **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours) --- ## ⚠️ LIMITATIONS AND RISKS ### This Indicator Cannot: - **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis - **Guarantee Profits**: No indicator is 100% accurate; losses will occur - **Replace Risk Management**: Always use stop losses and proper position sizing - **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals - **Work in All Market Conditions**: Less effective during extreme low volatility or major news events ### Known Limitations: 1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met 2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets 3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices 4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint ### Risk Warnings: - Past performance doesn't guarantee future results - Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays - Different markets and timeframes may produce different results - The indicator should be used as a tool, not as a standalone trading system - Always combine with your own analysis, risk management, and trading plan --- ## 🎓 EDUCATIONAL CONCEPTS This indicator synthesizes several established financial theories and technical analysis concepts: ### Academic Foundations: 1. **Fractal Market Hypothesis** (Edgar Peters) - Markets exhibit self-similar patterns across time scales - Implemented via multi-timeframe resonance analysis 2. **Behavioral Finance** (Kahneman & Tversky) - Investor psychology drives market inefficiencies - Implemented via market psychology state classification 3. **Intermarket Analysis** (John Murphy) - Asset classes correlate and influence each other predictably - Implemented via cross-asset correlation monitoring 4. **Mean Reversion** (Statistical Arbitrage) - Prices tend to revert to statistical norms - Implemented via probability zones and standard deviation bands 5. **Multi-Timeframe Analysis** (Technical Analysis Standard) - Higher timeframe trends dominate lower timeframe noise - Implemented via fractal resonance scoring ### Learning Resources: To better understand the concepts behind QMH: - Read "Intermarket Analysis" by John Murphy (for CAQE concepts) - Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts) - Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts) - Learn about Bollinger Bands (for TDPZ foundation) --- ## 🔄 VERSION HISTORY AND UPDATES **Current Version: 1.0** This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include: - Additional reference assets for CAQE - Optional machine learning-based weight optimization - Customizable psychology state definitions - Alternative probability zone calculations - Performance metrics tracking Check the "Updates" tab on the script page for version history. --- ## 📞 SUPPORT AND FEEDBACK ### How to Get Help: 1. **Read This Description First**: Most questions are answered in the detailed sections above 2. **Check Comments**: Other users may have asked similar questions 3. **Post Comments**: For general questions visible to the community 4. **Use TradingView Messaging**: For private inquiries (if available) ### Providing Useful Feedback: When reporting issues or suggesting improvements: - Specify your asset, timeframe, and settings - Include a screenshot if relevant - Describe expected vs. actual behavior - Check if issue persists with default settings ### Continuous Improvement: This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome. --- ## ⚖️ DISCLAIMER This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**. **Important Disclaimers:** - You should **not** rely solely on this indicator to make trading decisions - Always conduct your own research and due diligence - Past performance is not indicative of future results - Trading and investing involve substantial risk of loss - Only trade with capital you can afford to lose - Consider consulting with a licensed financial advisor before trading - The author is not responsible for any trading losses incurred using this indicator **By using this indicator, you acknowledge:** - You understand the risks of trading - You take full responsibility for your trading decisions - You will use proper risk management techniques - You will not hold the author liable for any losses --- ## 🙏 ACKNOWLEDGMENTS This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from: - The Pine Script community on TradingView - Academic research in behavioral finance and market microstructure - Classical technical analysis methods developed over decades - Open-source indicators that demonstrate best practices in Pine Script coding Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible. --- ## 📚 ADDITIONAL RESOURCES **Pine Script Documentation:** - Official Pine Script Manual: www.tradingview.com **Related Concepts to Study:** - Multi-timeframe analysis techniques - Correlation analysis in financial markets - Behavioral finance principles - Mean reversion strategies - Bollinger Bands methodology **Recommended TradingView Tools:** - Strategy Tester: To backtest signal performance - Bar Replay: To see how signals develop in real-time - Alert System: To receive notifications of new signals --- **Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
Pine Script® 인디케이터
Smart-Day-Trader의
Hidden Impulse═══════════════════════════════════════════════════════════════════ HIDDEN IMPULSE - Multi-Timeframe Momentum Detection System ═══════════════════════════════════════════════════════════════════ OVERVIEW Hidden Impulse is an advanced momentum oscillator that combines the Schaff Trend Cycle (STC) and Force Index into a comprehensive multi-timeframe trading system. Unlike standard implementations of these indicators, this script introduces three distinct trading setups with specific entry conditions, multi-timeframe confirmation, and trend filtering. ═══════════════════════════════════════════════════════════════════ ORIGINALITY & KEY FEATURES This indicator is original in the following ways: 1. DUAL-TIMEFRAME STC ANALYSIS Standard STC implementations work on a single timeframe. This script simultaneously analyzes STC on both your trading timeframe and a higher timeframe, providing trend context and filtering out low-probability signals. 2. FORCE INDEX INTEGRATION The script combines STC with Force Index (volume-weighted price momentum) to confirm the strength behind price moves. This combination helps identify when momentum shifts are backed by genuine buying/selling pressure. 3. THREE DISTINCT TRADING SETUPS Rather than generic overbought/oversold signals, the indicator provides three specific, rule-based setups: - Setup A: Classic trend-following entries with multi-timeframe confirmation - Setup B: Divergence-based reversal entries (highest probability) - Setup C: Mean-reversion bounce trades at extreme levels 4. INTELLIGENT FILTERING All signals are filtered through: - 50 EMA trend direction (prevents counter-trend trades) - Higher timeframe STC alignment (ensures macro trend agreement) - Force Index confirmation (validates volume support) ═══════════════════════════════════════════════════════════════════ HOW IT WORKS - TECHNICAL EXPLANATION SCHAFF TREND CYCLE (STC) CALCULATION: The STC is a cyclical oscillator that combines MACD concepts with stochastic smoothing to create earlier and smoother trend signals. Step 1: Calculate MACD - Fast MA = EMA(close, Length1) — default 23 - Slow MA = EMA(close, Length2) — default 50 - MACD Line = Fast MA - Slow MA Step 2: First Stochastic Smoothing - Apply stochastic calculation to MACD - Stoch1 = 100 × (MACD - Lowest(MACD, Smoothing)) / (Highest(MACD, Smoothing) - Lowest(MACD, Smoothing)) - Smooth result with EMA(Stoch1, Smoothing) — default 10 Step 3: Second Stochastic Smoothing - Apply stochastic calculation again to the smoothed stochastic - This creates the final STC value between 0-100 The dual stochastic smoothing makes STC more responsive than MACD while being smoother than traditional stochastics. FORCE INDEX CALCULATION: Force Index measures the power behind price movements by incorporating volume: Force Raw = (Close - Close ) × Volume Force Index = EMA(Force Raw, Period) — default 13 Interpretation: - Positive Force Index = Buying pressure (bulls in control) - Negative Force Index = Selling pressure (bears in control) - Force Index crossing zero = Momentum shift - Divergences with price = Weakening momentum (reversal signal) TREND FILTER: A 50-period EMA serves as the trend filter: - Price above EMA50 = Uptrend → Only LONG signals allowed - Price below EMA50 = Downtrend → Only SHORT signals allowed This prevents counter-trend trading which accounts for most losing trades. ═══════════════════════════════════════════════════════════════════ THE THREE TRADING SETUPS - DETAILED SETUP A: CLASSIC MOMENTUM ENTRY Concept: Enter when STC exits oversold/overbought zones with trend confirmation LONG CONDITIONS: 1. Higher timeframe STC > 25 (macro trend is up) 2. Primary timeframe STC crosses above 25 (momentum turning up) 3. Force Index crosses above 0 OR already positive (volume confirms) 4. Price above 50 EMA (local trend is up) SHORT CONDITIONS: 1. Higher timeframe STC < 75 (macro trend is down) 2. Primary timeframe STC crosses below 75 (momentum turning down) 3. Force Index crosses below 0 OR already negative (volume confirms) 4. Price below 50 EMA (local trend is down) Best for: Trending markets, continuation trades Win rate: Moderate (60-65%) Risk/Reward: 1:2 to 1:3 ─────────────────────────────────────────────────────────────────── SETUP B: DIVERGENCE REVERSAL (HIGHEST PROBABILITY) Concept: Identify exhaustion points where price makes new extremes but momentum (Force Index) fails to confirm BULLISH DIVERGENCE: 1. Price makes a lower low (LL) over 10 bars 2. Force Index makes a higher low (HL) — refuses to follow price down 3. STC is below 25 (oversold condition) Trigger: STC starts rising AND Force Index crosses above zero BEARISH DIVERGENCE: 1. Price makes a higher high (HH) over 10 bars 2. Force Index makes a lower high (LH) — refuses to follow price up 3. STC is above 75 (overbought condition) Trigger: STC starts falling AND Force Index crosses below zero Why this works: Divergences signal that the current trend is losing steam. When volume (Force Index) doesn't confirm new price extremes, a reversal is likely. Best for: Reversal trading, range-bound markets Win rate: High (70-75%) Risk/Reward: 1:3 to 1:5 ─────────────────────────────────────────────────────────────────── SETUP C: QUICK BOUNCE AT EXTREMES Concept: Catch rapid mean-reversion moves when price touches EMA50 in extreme STC zones LONG CONDITIONS: 1. Price touches 50 EMA from above (pullback in uptrend) 2. STC < 15 (extreme oversold) 3. Force Index > 0 (buyers stepping in) SHORT CONDITIONS: 1. Price touches 50 EMA from below (pullback in downtrend) 2. STC > 85 (extreme overbought) 3. Force Index < 0 (sellers stepping in) Best for: Scalping, quick mean-reversion trades Win rate: Moderate (55-60%) Risk/Reward: 1:1 to 1:2 Note: Use tighter stops and quick profit-taking ═══════════════════════════════════════════════════════════════════ HOW TO USE THE INDICATOR STEP 1: CONFIGURE TIMEFRAMES Primary Timeframe (STC - Primary Timeframe): - Leave empty to use your current chart timeframe - This is where you'll take trades Higher Timeframe (STC - Higher Timeframe): - Default: 30 minutes - Recommended ratios: * 5min chart → 30min higher TF * 15min chart → 1H higher TF * 1H chart → 4H higher TF * Daily chart → Weekly higher TF ─────────────────────────────────────────────────────────────────── STEP 2: ADJUST STC PARAMETERS FOR YOUR MARKET Default (23/50/10) works well for stocks and forex, but adjust for: CRYPTO (volatile): - Length 1: 15 - Length 2: 35 - Smoothing: 8 (Faster response for rapid price movements) STOCKS (standard): - Length 1: 23 - Length 2: 50 - Smoothing: 10 (Balanced settings) FOREX MAJORS (slower): - Length 1: 30 - Length 2: 60 - Smoothing: 12 (Filters out noise in 24/7 markets) ─────────────────────────────────────────────────────────────────── STEP 3: ENABLE YOUR PREFERRED SETUPS Toggle setups based on your trading style: Conservative Trader: ✓ Setup B (Divergence) — highest win rate ✗ Setup A (Classic) — only in strong trends ✗ Setup C (Bounce) — too aggressive Trend Trader: ✓ Setup A (Classic) — primary signals ✓ Setup B (Divergence) — for entries on pullbacks ✗ Setup C (Bounce) — not suitable for trending Scalper: ✓ Setup C (Bounce) — quick in-and-out ✓ Setup B (Divergence) — high probability scalps ✗ Setup A (Classic) — too slow ─────────────────────────────────────────────────────────────────── STEP 4: READ THE SIGNALS ON THE CHART: Labels appear when conditions are met: Green labels: - "LONG A" — Setup A long entry - "LONG B DIV" — Setup B divergence long (best signal) - "LONG C" — Setup C bounce long Red labels: - "SHORT A" — Setup A short entry - "SHORT B DIV" — Setup B divergence short (best signal) - "SHORT C" — Setup C bounce short IN THE INDICATOR PANEL (bottom): - Blue line = Primary timeframe STC - Orange dots = Higher timeframe STC (optional) - Green/Red bars = Force Index histogram - Dashed lines at 25/75 = Entry/Exit zones - Background shading = Oversold (green) / Overbought (red) INFO TABLE (top-right corner): Shows real-time status: - STC values for both timeframes - Force Index direction - Price position vs EMA - Current trend direction - Active signal type ═══════════════════════════════════════════════════════════════════ TRADING STRATEGY & RISK MANAGEMENT ENTRY RULES: Priority ranking (best to worst): 1st: Setup B (Divergence) — wait for these 2nd: Setup A (Classic) — in confirmed trends only 3rd: Setup C (Bounce) — scalping only Confirmation checklist before entry: ☑ Signal label appears on chart ☑ TREND in info table matches signal direction ☑ Higher timeframe STC aligned (check orange dots or table) ☑ Force Index confirming (check histogram color) ─────────────────────────────────────────────────────────────────── STOP LOSS PLACEMENT: Setup A (Classic): - LONG: Below recent swing low - SHORT: Above recent swing high - Typical: 1-2 ATR distance Setup B (Divergence): - LONG: Below the divergence low - SHORT: Above the divergence high - Typical: 0.5-1.5 ATR distance Setup C (Bounce): - LONG: 5-10 pips below EMA50 - SHORT: 5-10 pips above EMA50 - Typical: 0.3-0.8 ATR distance ─────────────────────────────────────────────────────────────────── TAKE PROFIT TARGETS: Conservative approach: - Exit when STC reaches opposite level - LONG: Exit when STC > 75 - SHORT: Exit when STC < 25 Aggressive approach: - Hold until opposite signal appears - Trail stop as STC moves in your favor Partial profits: - Take 50% at 1:2 risk/reward - Let remaining 50% run to target ─────────────────────────────────────────────────────────────────── WHAT TO AVOID: ❌ Trading Setup A in sideways/choppy markets → Wait for clear trend or use Setup B only ❌ Ignoring higher timeframe STC → Always check orange dots align with your direction ❌ Taking signals against the major trend → If weekly trend is down, be cautious with longs ❌ Overtrading Setup C → Maximum 2-3 bounce trades per session ❌ Trading during low volume periods → Force Index becomes unreliable ═══════════════════════════════════════════════════════════════════ ALERTS CONFIGURATION The indicator includes 8 alert types: Individual setup alerts: - "Setup A - LONG" / "Setup A - SHORT" - "Setup B - DIV LONG" / "Setup B - DIV SHORT" ⭐ recommended - "Setup C - BOUNCE LONG" / "Setup C - BOUNCE SHORT" Combined alerts: - "ANY LONG" — fires on any long signal - "ANY SHORT" — fires on any short signal Recommended alert setup: - Create "Setup B - DIV LONG" and "Setup B - DIV SHORT" alerts - These are the highest probability signals - Set "Once Per Bar Close" to avoid false alerts ═══════════════════════════════════════════════════════════════════ VISUALIZATION SETTINGS Show Labels on Chart: Toggle on/off the signal labels (green/red) Disable for cleaner chart once you're familiar with the indicator Show Higher TF STC: Toggle the orange dots showing higher timeframe STC Useful for visual confirmation of multi-timeframe alignment Info Panel: Cannot be disabled — always shows current status Positioned top-right to avoid chart interference ═══════════════════════════════════════════════════════════════════ EXAMPLE TRADE WALKTHROUGH SETUP B DIVERGENCE LONG EXAMPLE: 1. Market Context: - Price in downtrend, below 50 EMA - Multiple lower lows forming - STC below 25 (oversold) 2. Divergence Formation: - Price makes new low at $45.20 - Force Index refuses to make new low (higher low forms) - This indicates selling pressure weakening 3. Signal Trigger: - STC starts turning up - Force Index crosses above zero - Label appears: "LONG B DIV" 4. Trade Execution: - Entry: $45.50 (current price at signal) - Stop Loss: $44.80 (below divergence low) - Target 1: $47.90 (STC reaches 75) — risk/reward 1:3.4 - Target 2: Opposite signal or trail stop 5. Trade Management: - Price rallies to $47.20 - STC reaches 68 (approaching target zone) - Take 50% profit, move stop to breakeven - Exit remaining at $48.10 when STC crosses 75 Result: 3.7R gain ═══════════════════════════════════════════════════════════════════ ADVANCED TIPS 1. MULTI-TIMEFRAME CONFLUENCE For highest probability trades, wait for: - Primary TF signal - Higher TF STC aligned (>25 for longs, <75 for shorts) - Even higher TF trend in same direction (manual check) 2. VOLUME CONFIRMATION Watch the Force Index histogram: - Increasing bar size = Strengthening momentum - Decreasing bar size = Weakening momentum - Use this to gauge signal strength 3. AVOID THESE MARKET CONDITIONS - Major news events (Force Index becomes erratic) - Market open first 30 minutes (volatility spikes) - Low liquidity instruments (Force Index unreliable) - Extreme trending days (wait for pullbacks) 4. COMBINE WITH SUPPORT/RESISTANCE Best signals occur near: - Key horizontal levels - Fibonacci retracements - Previous day's high/low - Psychological round numbers 5. SESSION AWARENESS - Asia session: Use lower timeframes, Setup C works well - London session: Setup A and B both effective - New York session: All setups work, highest volume ═══════════════════════════════════════════════════════════════════ INDICATOR WINDOWS LAYOUT MAIN CHART: - Price action - 50 EMA (green/red) - Signal labels - Info panel INDICATOR WINDOW: - STC oscillator (blue line, 0-100 scale) - Higher TF STC (orange dots, optional) - Force Index histogram (green/red bars) - Reference levels (25, 50, 75) - Background zones (green oversold, red overbought) ═══════════════════════════════════════════════════════════════════ PERFORMANCE OPTIMIZATION For best results: Backtesting: - Test on your specific instrument and timeframe - Adjust STC parameters if win rate < 55% - Record which setup works best for your market Position Sizing: - Risk 1-2% per trade - Setup B can use 2% risk (higher win rate) - Setup C should use 1% risk (lower win rate) Trade Frequency: - Setup B: 2-5 signals per week (be patient) - Setup A: 5-10 signals per week - Setup C: 10+ signals per week (scalping) ═══════════════════════════════════════════════════════════════════ CREDITS & REFERENCES This indicator builds upon established technical analysis concepts: Schaff Trend Cycle: - Developed by Doug Schaff (1996) - Original concept published in Technical Analysis of Stocks & Commodities - Implementation based on standard STC formula Force Index: - Developed by Dr. Alexander Elder - Described in "Trading for a Living" (1993) - Classic volume-momentum indicator The multi-timeframe integration, three-setup system, and specific entry conditions are original contributions of this indicator. ═══════════════════════════════════════════════════════════════════ DISCLAIMER This indicator is a technical analysis tool and does not guarantee profits. Past performance is not indicative of future results. Always: - Use proper risk management - Test on demo account first - Combine with fundamental analysis - Never risk more than you can afford to lose ═══════════════════════════════════════════════════════════════════ SUPPORT & QUESTIONS If you find this indicator helpful, please: - Leave a like and comment - Share your feedback and results - Report any bugs or issues For questions about usage or optimization for specific markets, feel free to comment below. ═════════════════════════════════════════════════════════════
Pine Script® 인디케이터
Smart-Day-Trader의
Smart Inside Bar Zones by Dinkan🔹 How It Works An Inside Bar is formed when a candle’s high and low are completely within the previous candle’s range. The indicator detects this structure in real time, creates a visual box around it, and extends the zone until the pattern is broken. Inside Bar candles can be optionally highlighted with a custom color to make them stand out clearly on the chart. 🔹 Features ✅ Automatic Inside Bar detection ✅ Dynamic Inside Bar zone boxes with custom fill & border color ✅ Inside candle body highlighting with user-defined color ✅ Adjustable transparency and border style ✅ Option to display only the latest Inside Bar zone for cleaner charts 🔹 Usage Traders can use Inside Bar zones to: Study price compression and breakout regions Observe range behavior and trend continuation setups Combine with other tools like volume or support/resistance analysis 🔹 Customization Change box fill and border color Adjust Inside Candle color for better visibility Set transparency and choose whether to show all or only the latest box ⚠️ Disclaimer This script is intended for market structure visualization and educational purposes only. It does not generate trading signals or financial advice. Always perform your own analysis and risk management before making trading decisions.
Pine Script® 인디케이터
DinkanWorld의
TrendShield Pro | DinkanWorldSmart Trailing Trend System Powered by EMA + ATR TrendShield Pro is a powerful trend detection and trailing stop indicator designed for traders who rely on pure price movement and volatility tracking. It dynamically adapts to market conditions using a combination of EMA (Exponential Moving Average) and ATR (Average True Range) to identify the active trend and place a visual trailing stop line. 🔍 How It Works TrendShield Pro combines trend direction and volatility to create a self-adjusting trailing system: EMA (Exponential Moving Average): Smooths price fluctuations and identifies the overall market bias. ATR (Average True Range): Measures volatility to determine how far the trailing stop should follow the trend. Dynamic Bands: Two invisible thresholds are formed — up and down — around the EMA using the ATR and your chosen Factor value. Trailing Logic: When the EMA is rising, the Trailing Stop (TUp) locks in higher lows. When the EMA is falling, the Trailing Stop (TDown) locks in lower highs. The indicator switches trend automatically based on price crossing these trailing levels. 🧭 Visuals & Features Green Trailing Line (Demand Trend): Indicates an active bullish trend. Red Trailing Line (Supply Trend): Indicates an active bearish trend. Arrow Signals: 🟢 Up Arrow → Bullish Trend Reversal 🔴 Down Arrow → Bearish Trend Reversal Diamond Markers: Show points where the trailing line shifts, marking dynamic volatility changes. ⚙️ Inputs Input Description EMA Period Length of the Exponential Moving Average ATR Period Period used for Average True Range calculation Factor Multiplier for ATR-based volatility expansion
Pine Script® 인디케이터
DinkanWorld의
Smart Breakout Detector: Trendline Retest & Angle FilteringDetect trendline breakouts with two important filtering controls: retest validation and angle filtering. Require multiple price retests (2-4 touches) before a trendline is considered valid, eliminating weak single-touch lines. Set precise angle limits to filter out unreliable steep or shallow trendlines. Three independent timeframe sets (fast/medium/slow) with customizable pivot lengths allow you to get low risk entry point for both short-term and major trend continuations/reversals. ═══════════════════════════════════════════ CORE METHODOLOGY ═══════════════════════════════════════════ This indicator identifies trendline breakouts using two configurable filtering parameters that are uncommon in publicly available indicators: 1. RETEST VALIDATION Requires a specified number of price touches (2-4) before considering a trendline valid. This reduces false signals from randomly aligned single-touch lines. Higher thresholds decrease signal frequency while increasing reliability. 2. ANGLE FILTERING Applies maximum angle constraints (0-20) to trendlines independently for resistance and support, both upward and downward slopes. This filters trendlines with extreme angles that typically lack predictive value. ═══════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════ DETECTION ALGORITHM: 1. Identifies pivot highs/lows using configurable lookback periods 2. Connects pivots within ATR-based proximity threshold 3. Validates trendlines only after minimum retest requirement is met 4. Applies angle constraints using arctangent calculations 5. Verifies no price penetration occurred between pivot points 6. Triggers breakout signals when price breaches validated lines THREE INDEPENDENT TREND LINE BANKS: The indicator operates three parallel detection systems with separate parameters: - Level Set A: Short pivot periods (default 5 bars) - Level Set B: Medium pivot periods (default 10 bars) - Level Set C: Long pivot periods (default 6 bars) Each system maintains independent arrays of resistance and support lines. ADAPTIVE COMPONENTS: - Proximity tolerance scales with ATR(40) to accommodate volatility - Angle thresholds adjust using combined absolute and percentage ATR factors - Line lifespan configurable by bar count (default 180/200/300 bars per set) ══════════════════════════════════════════ USE CASES ══════════════════════════════════════════ Appropriate for: - Filtering breakout candidates by reliability metrics - Multi-timeframe trendline analysis - Automated breakout monitoring - Reducing chart noise from weak trendlines Not appropriate for: - Range-bound or highly choppy markets - Instruments with insufficient historical data - Strategies requiring predictive (non-historical) trendlines
Pine Script® 인디케이터
trend-wolf의